Short Biography

 

Dr. Eugene Santos, Jr. received his B.S. ('85) in Mathematics and Computer Science from Youngstown State University, a M.S. ('86) in Mathematics (specializing in Numerical Analysis) from Youngstown State University, as well as Sc.M. ('88) and Ph.D. ('92) degrees in Computer Science from Brown University. He is currently Professor of Engineering in the Thayer School of Engineering at Dartmouth College, Hanover, NH. His areas of research interest include artificial intelligence, intent inferencing, social and cultural modeling, computational social science, automated reasoning, decision science, adversarial reasoning, user modeling, natural language processing, probabilistic reasoning, and knowledge engineering, verification and validation, protein folding, virtual reality, and active user interfaces. He has served on many major conference program committees from intelligent agents to evolutionary computing. He is currently Editor-in-Chief for the IEEE Transactions on Systems, Man, and Cybernetics: Part B, an associate editor for the International Journal of Image and Graphics, and is also on the editorial advisor board for System and Information Sciences Notes and on the editorial boards for Journal of Intelligent Information Systems and Journal of Experimental and Theoretical Artificial Intelligence. He also has many hobbies including volleyball, music composition, wood working, science fiction, raising goldfish and Koi, and Chinese culture. He was born in 1968 in Youngstown, Ohio.

 

 

Selected Active Research Grants (as of September 2009)

  • (PI:) Santos, Eugene, Jr., “Modeling the Processes and Factors Underlying Changes in Opinions and Behavior,” Air Force Office of Scientific Research, pending final contracting, $634k, 10/2009 – 9/2012.
  • (PI:) Santos, Eugene, Jr. and (co-PI:) Rosen, Joseph, “Complex Adaptive Problem Solving for Teams in Critical Care Environments,” Office of Naval Research, Grant No. N00014-08-1-0879, $570k, 6/2008 - 5/2011.
  • Granger, Richard et al., “Modular Social Intelligence for Teaming and Coalition Adaptation of Heterogeneous Autonomous Cooperative Agents,” Department of Defense, MURI, $3.34M, 5/2008 - 4/2011.
  • (PI:) Santos, Eugene, Jr., “On Insider Threats, Deception, and User Modeling,” Air Force Office of Scientific Research, Grant No. FA9550-07-1-0050, $396k, 12/2006 - 11/2011.
  • (PI:) Santos, Eugene, Jr. and (co-PI:) Cybenko, George V., “Policy-based Recovery on Virtualized Enterprise Networks (PROVEN),” Department of Defense (via Securboration, Inc.), Grant No. FA8750-09-C-0050, $150k, 3/2009 - 8/2010.
  • (PI:) Santos, Eugene, Jr. and (co-PI:) Cybenko, George V., “Ontology Generation and Evolution Processor,” Department of Defense (via Securboration, Inc.), Grant No. FA8750-08-C-0109, $100k, 3/2008 - 2/2010.
  • (PI:) Santos, Eugene, Jr., “A Framework for Adversarial Social Networks,” Defense Threat Reduction Agency (via University of Texas – El Paso), Grant No. HDTRA1-07-1-0003, $210k, 1/2007 - 1/2010.

 

 

Research Areas and Selected Publications (as of August 2009)

 

Adversarial Modeling and Intent

·         Pioch, Nicholas J., Melhuish, James, Seidel, Andy, Santos, Eugene, Jr., and Li, Deqing, “Adversarial Intent Modeling Using Embedded Simulation and Temporal Bayesian Knowledge Bases,” Proceedings of the SPIE Defense & Security Symposium, Vol. 7348, pp. 0E-1–0E-12, Orlando, FL, 2009.

·         Santos, Eugene, Jr., McQueary, Bruce, and Krause, Lee, “Modeling Adversarial Intent for Interactive Simulation and Gaming: The Fused Intent System,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 6965, Orlando, FL, 2008.

·         Santos, Eugene, Jr., Zhao, Qunhua, Pratto, Felicia, Pearson, Adam R., McQueary, Bruce, Breeden, Andy, and Krause, Lee, “Modeling Multiple Communities of Interest for Interactive Simulation and Gaming: The Dynamic Adversarial Gaming Algorithm Project,” Proceedings of the SPIE: Defense & Security Symposium, Vol: 6564, Orlando, FL, 2007.

·         Santos, Eugene, Jr. and Zhao, Qunhua, “Adversarial Models for Opponent Intent Inferencing,” in Adversarial Reasoning: Computational Approaches to Reading the Opponents Mind (Eds. A. Kott and W. McEneaney), pp 1-22, Chapman & Hall/CRC Computer and Information Science Series, Chapman & Hall/CRC:Boca Raton, 2006.

·         Lehman, Lynn A., Krause, Lee S., Gilmour, Duane A., Santos, Eugene, Jr., and Zhao, Qunhua “Intent Driven Adversarial Modeling,” Proceedings of the Tenth International Command and Control Research and Technology Symposium: The Future of C2, McLean, VA, 2005.

·         Santos, Eugene, Jr. and Negri, Allesandro, “Constructing Adversarial Models for Threat Intent Prediction and Inferencing,” Proceedings of the SPIE Defense & Security Symposium, Vol. 5423, 77-88, Orlando, FL 2004.

·         McQueary, Bruce, Krause, Lee, Santos, Eugene, Jr., Wang, Hua, and Zhao, Qunhua, “Analysis and Visualization of Uncertainty in the Battlespace,” Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 782-784, Boca Raton, FL, 2004.

·         Revello, Timothy, McCartney, Robert, and Santos, Eugene, Jr., “Multiple Strategy Generation for War Gaming,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 5423, 232-243, Orlando, FL 2004.

·         Santos, Eugene, Jr., “A Cognitive Architecture for Adversary Intent Inferencing: Knowledge Structure and Computation,” Proceedings of the SPIE: 17th Annual International Symposium on Aerospace/Defense Sensing and Controls: AeroSense 2003, Vol. 5091, 182-193, Orlando, FL, 2003.

·         Surman, Joshua, Hillman, Robert, and Santos, Eugene, Jr., “Adversarial Inferencing for Generating Dynamic Adversary Behavior,” Proceedings of the SPIE: 17th Annual International Symposium on Aerospace/Defense Sensing and Controls: AeroSense 2003, Vol. 5091, 194-201, Orlando, FL, 2003.

·         Brown, Scott M., Santos, Eugene, Jr., and Bell, Benjamin, “Knowledge Acquisition for Adversary Course of Action Prediction Models,” Proceedings of the AAAI 2002 Fall Symposium on Intent Inference for Users, Teams, and Adversaries, Boston, MA, 2002.

·         Bell, Benjamin, Santos, Eugene, Jr., and Brown, Scott M., “Making Adversary Decision Modeling Tractable with Intent Inference and Information Fusion,” Proceedings of the 11th Conference on Computer Generated Forces and Behavioral Representation, 535-542, Orlando, FL, 2002.

 

User Modeling and Intent

·         Santos, Eugene, Jr., Nguyen, Hien, Wilkinson, John T., Yu, Fei, Li, Deqing, Kim, Keumjoo, Russell, Jacob, and Olson, Adam, “Capturing User Intent for Analytic Process,” Proceedings of User Modeling, Adaptation, and Personalization (UMAP 09), 349-354,Trento, Italy, 2009.

·         Santos, Eugene, Jr. and Nguyen, Hien, “Modelling Users for Adaptive Information Retrieval by Capturing User Intent,” Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling (Eds. M. Chevalier, C. Julien, and C. Soule-Depuy), 88-118, IGI Global, 2009.

·         Nguyen, Hien and Santos, Eugene, Jr., “An Evaluation of the Accuracy of Capturing User Intent for Information Retrieval,” Proceedings of the 2007 International Conference on Artificial Intelligence (ICAI-07), 341-350, Las Vegas, NV, 2007.

·         Nguyen, Hien and Santos, Eugene, Jr., “Effects of Prior Knowledge on the Effectiveness of a Hybrid User Model for Information Retrieval,” Proceedings of the SPIE: Defense & Security Symposium, Vol: 6536, Orlando, FL, 2007.

·         Nguyen, Hien, Santos, Eugene, Jr., Smith, Nathan, and Schuett, Aaron, “Hybrid User Model for Information Retrieval,” Proceedings of the AAAI Workshop on Modeling Others from Observations (MOO-06), 61-76, Boston, MA, 2006.

·         Santos, Eugene, Jr., Zhao, Qunhua, Nguyen, Hien, and Wang, Hua, “Impacts of User Modeling on Personalization of Information Retrieval: An Evaluation with Human Intelligence Analysts,” in S. Weibelzahl, A. Paramythis, and J. Masthoff (Eds.), Proceedings of the Fourth Workshop on the Evaluation of Adaptive Systems (held in conjunction with the 10th International Conference on User Modeling (UM’05)), 27-36, Edinburgh, UK, 2005.

·         Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua, and Wang, Hua, “Capturing User Intent for Information Retrieval,” Proceedings of the 48th Annual Meeting of the Human Factors and Ergonomics Society (HFES 2004), 371-375, New Orleans, LA, 2004.

·         Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua, and Lee, Chester, “Evaluation of Effects on Retrieval Performance for an Adaptive User Model,” Adaptive Hypermedia 2004: Workshop Proceedings - Part I, 193-202, Eindhoven, The Netherlands, 2004.

·         Santos, Eugene, Jr., Nguyen, Hien, Zhao, Qunhua, and Wang, Hua, “User Modelling for Intent Prediction in Information Analysis,” Proceedings of the 47th Annual Meeting for the Human Factors and Ergonomics Society (HFES-03), 1034-1038, Denver, CO, 2003.

·         Santos, Eugene, Jr., Nguyen, Hien, Zhao, Qunhua, and Pukinskis, Erik, “Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application,” Lecture Notes in Artificial Intelligence 2702: User Modeling 2003 (Eds. P. Brusilovsky, A. Corbett, and F. de Rosis), 292-296, Springer, 2003.

·         Santos, Eugene, Jr., Nguyen, Hien, and Brown, Scott M., “Kavanah: An Active User Interface Information Retrieval Application,” Proceedings of the 2nd Asia-Pacific Conference on Intelligent Agent Technology, 412-423, 2001.

·         Lee, Jung-Jin, McCartney, Robert, and Santos, Eugene, Jr., “Learning and Predicting User Behavior for Particular Resource Use,” Proceedings of the 14th International FLAIRS Conference, 177-181, Orlando, FL, 2001.

·         Santos, Eugene and Brown, Scott M., “Interfacing the Human into Intelligent Information Systems,” Proceedings of the SPIE 14th Annual: 14th Annual International Symposium on Aerospace/Defense Sensing and Controls: AeroSense 2000, Vol. 4055, 489-509, Orlando, FL, 2000.

·         Brown, ScottM. and Santos, Eugene, Jr., “Active User Interfaces for Building Decision-Theoretic Systems,” Proceedings of the 1st Asia-Pacific Conference on Intelligent Agent Technology, 244-253, Hong Kong, 1999.

·         Santos, Eugene, Jr., Brown, Scott M., Lejter, Moises, Ngai, Grace, Banks, Sheila B., and Stytz, Martin R., “Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries,” Proceedings of the 12th International FLAIRS Conference, 3-7, Orlando, FL, 1999.

·         Brown, Scott M., Santos, Eugene, Jr., and Banks, Sheila B., “Utility theory-based user models for intelligent interface agents,” Lecture Notes in Artificial Intelligence 1418: Advances in Artificial Intelligence – AI ’98, 378-392, Springer-Verlag, 1998.

·         Brown, Scott M., Santos, Eugene, Jr., Banks, Sheila B., and Oxley, Mark, “Using Explicit Requirements and Metrics for Interface Agent User Model Correction,” Proceedings of the Second International Conference on Autonomous Agents, 1-7, Minneapolis/ St. Paul, MN, 1998.

·         Brown, Scott M., Harrington, Robert A., Santos, Eugene, Jr., and Banks, Sheila B., “User Models, Intelligent Interface Agents and Expert Systems,” Proceedings of the Sixth International Conference on User Modeling Workshop on Embedding User Models in Intelligent Applications, 12-16, Sardinia, Italy, 1997.

 

Deception Detection

·         Santos, Eugene, Jr. and Li, Deqing, “Deception Detection in Multi-Agent Systems,” to appear in IEEE Transactions on Systems, Man, and Cybernetics: Part A.

·         Santos, Eugene, Jr., Li, Deqing, and Yuan, Xiuqing, “On Deception Detection in Multi-Agent Systems and Deception Intent,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 6965, Orlando, FL, 2008.

·         Santos, Eugene, Jr., Zhao, Qunhua, Johnson, Gregory, Nguyen, Hien, and Thompson, Paul, “A Cognitive Framework For Information Gathering with Deception Detection For Intelligence Analysis,” Proceedings of the 2005 International Conference on Intelligence Analysis, McClean, VA, 2005.

·         Thompson, Paul, Santos, Eugene, Jr., Zhao, Qunhua, Johnson, Gregory, and Nguyen, Hien, “Counter Denial and Deception and Utility-Theoretic Information Retrieval for Intelligence Analysis,” Proceedings of the 2005 International Conference on Intelligence Analysis, McClean, VA, 2005.

·         Santos, Eugene, Jr. and Johnson, Gregory, “Toward Detecting Deception in Intelligent Systems,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 5423, 131-140, Orlando, FL 2004.

·         Johnson, Gregory and Santos, Eugene, Jr., “Deception Detection in Information Systems I: Activation of Deception Detection Tactics,” Lecture Notes in Computer Science 3060: Advances in Artificial Intelligence – AI ’04 (Eds. A. Tawfik and S. Goodwin), 339-354, Springer-Verlag, 2004.

 

Cultural Behaviors and Attitudes Modeling (Computational Social Science)

·         Santos, Eunice E., Santos, Eugene, Jr., Wilkinson, John T., and Xia, Huadong, “On a Framework for the Prediction and Explanation of Changing Opinions,” to appear in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, 2009.

·         Santos, Eunice E., Santos, Eugene, Jr., Pan, Long, and Wilkinson, John T., “Culturally Infused Social Network Analysis,” Proceedings of the International Conference on Artificial Intelligence, 449-455, Las Vegas, NV, 2008.

·         Santos, Eugene, Jr., Zhao, Qunhua, Pratto, Felicia, Pearson, Adam R., McQueary, Bruce, Breeden, Andy, and Krause, Lee, “Modeling Multiple Communities of Interest for Interactive Simulation and Gaming: The Dynamic Adversarial Gaming Algorithm Project,” Proceedings of the SPIE: Defense & Security Symposium, Vol: 6564, Orlando, FL, 2007.

 

Insider Threat

·         Santos, Eugene, Jr., Nguyen, Hien, Yu, Fei, Kim, Keum Joo, Li, Deqing, Wilkinson, John T., Olson, Adam, and Jacob, Russell, “Intent-Driven Insider Threat Detection in Intelligence Analyses,” Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 345-349, Sydney, Australia, 2008.

 

Intelligence Analysis and Decision Support (also see above)

·         Santos, Eugene, Jr. and Li, Deqing, “Deception Detection in Multi-Agent Systems,” to appear in IEEE Transactions on Systems, Man, and Cybernetics: Part A.

·         Santos, Eunice E., Santos, Eugene, Jr., Wilkinson, John T., and Xia, Huadong, “On a Framework for the Prediction and Explanation of Changing Opinions,” to appear in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, 2009.

·         Santos, Eugene, Jr., Wilkinson, John T., and Santos, Eunice E., “Bayesian Knowledge Fusion,” Proceedings of the 22nd International FLAIRS Conference, 559-564, Sanibel Island, FL, 2009. (Runner-Up Conference Best Paper Award)

·         Pioch, Nicholas J., Melhuish, James, Seidel, Andy, Santos, Eugene, Jr., and Li, Deqing, “Adversarial Intent Modeling Using Embedded Simulation and Temporal Bayesian Knowledge Bases,” Proceedings of the SPIE Defense & Security Symposium, Vol. 7348, pp. 0E-1–0E-12, Orlando, FL, 2009.

·         Santos, Eugene, Jr. and Nguyen, Hien, “Modelling Users for Adaptive Information Retrieval by Capturing User Intent,” Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling (Eds. M. Chevalier, C. Julien, and C. Soule-Depuy), 88-118, IGI Global, 2009.

·         Zhao, Qunhua, Santos, Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed, “What Makes a Good Summary?,” Computational Methods for Counterterrorism (Eds. S. Argamon and H. Newton), 33-50, Springer, 2009.

·         Santos, Eugene, Jr., Nguyen, Hien, Yu, Fei, Kim, Keum Joo, Li, Deqing, Wilkinson, John T., Olson, Adam, and Jacob, Russell, “Intent-Driven Insider Threat Detection in Intelligence Analyses,” Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 345-349, Sydney, Australia, 2008.

·         Nguyen, Hien, Santos, Eugene, Jr., Jacob, Russell, and Smith, Nathan, “Evaluation of the Effects of User-Sensitivity on Text Summarization,” Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 927-931, Sydney, Australia, 2008.

·         Santos, Eugene, Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah, John, Xia, Huadong, Yu, Fei, and Li, Deqing, “Analyst-Ready Large Scale Real Time Information Retrieval Tool for E-Governance,” E-Government Diffusion, Policy and Impact: Advanced Issues and Practices (Ed. M. Khosrow-Pour), 268-294, IGI Global, 2008.

 

Bayesian Knowledge-Bases and Bayesian Networks

·         Santos, Eugene, Jr., Li, Deqing, and Wilkinson, John T., “A Framework for Reasoning Under Uncertainty with Temporal Constraints,” to appear in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, 2009.

·         Santos, Eugene, Jr., Wilkinson, John T., and Santos, Eunice E., “Bayesian Knowledge Fusion,” Proceedings of the 22nd International FLAIRS Conference, 559-564, Sanibel Island, FL, 2009. (Runner-Up Conference Best Paper Award)

·         Santos, Eugene, Jr. and Dinh, Hang T., “Automatic Knowledge Validation for Bayesian Knowledge Bases,” Data and Knowledge Engineering 64, 218-241, 2008.

·         Santos, Eugene, Jr. and Dinh, Hang T., “Consistency of Test Cases in Validation of Bayesian Knowledge Bases,” Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 468-475, Boca Raton, FL, 2004.

·         Rosen, Tzachi, Shimony, Solomon Eyal, and Santos, Eugene, Jr., “Reasoning with BKBs – Algorithms and Complexity,” Annals of Mathematics and Artificial Intelligence 40(3-4), 403-425, 2004.

·         Santos, Eugene, Jr., Santos, Eugene S., and Shimony, Solomon Eyal, “Implicitly Preserving Semantics During Incremental Knowledge Base Acquisition Under Uncertainty,” International Journal of Approximate Reasoning 33(1), 71-94, 2003.

·         Zhong, Xiaomin and Santos, Eugene, Jr., “Directing Genetic Algorithms for Probabilistic Reasoning Through Reinforcement Learning,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(2), 167-185, 2000.

·         Johnson, Gregory and Santos, Eugene, Jr., “Generalizing Knowledge Representation Rules for Uncertain Knowledge,” Proceedings of the 13th International FLAIRS Conference, 186-190, Orlando, FL, 2000.

·         Santos, Eugene, Jr. and Young, Joel D., “Probabilistic Temporal Networks: A unified framework for reasoning with Time and Uncertainty,” International Journal of Approximate Reasoning 20, 263-291, 1999.

·         Santos, Eugene, Jr. and Santos, Eugene S., “A Framework for Building Knowledge- Bases Under Uncertainty,” Journal of Experimental and Theoretical Artificial Intelligence 11, 265-286, 1999.

·         Santos, Eugene, Jr., and Shimony, Solomon Eyal, “Deterministic Approximation of Marginal Probabilities in Bayes Nets,” IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 28(4), 377-393, 1998.

·         Santos, Eugene, Jr., “On Multiple Spline Approximations for Bayesian Computations,” Annals of Mathematics and Artificial Intelligence 20(1-4), 267-300, 1997.

·         Santos, Eugene, Jr., Shimony, Solomon Eyal, and Williams, Edward, “Hybrid Algorithms for Approximate Belief Updating in Bayes Nets,” International Journal of Approximate Reasoning 17(2-3), 191-216, 1997.

·         Shimony, Solomon Eyal and Santos, Eugene, Jr., “Exploiting Case-Based Independence for Approximating Marginal Probabilities,” International Journal of Approximate Reasoning 14(1), 25-54, 1996.

·         Santos, Eugene, Jr., “On Linear Potential Functions for Approximating Bayesian Computations,” Journal of the ACM 43(3), 399-430, 1996.

·         Santos, Eugene, Jr., “A Fast Hill-Climbing Approach Without An Energy Function for Probabilistic Reasoning,” Proceedings of the Fifth IEEE International Conference on Tools in Artificial Intelligence, 170-179, Cambridge, MA, 1993.

·         Santos, Eugene, Jr., “On the Generation of Alternative Explanations with Implications for Belief Revision,” Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, 337-347, Los Angeles, CA, 1991.

·         Santos, Eugene S., and Santos, Eugene, Jr., “Reasoning with Uncertainty in a Knowledge-Based System,” Proceedings of the Seventeenth International Symposium on Multiple-Valued Logic, 75-81, Boston, MA, 1987.

 

Knowledge Engineering and Verification and Validation

·         Santos, Eugene, Jr., Wilkinson, John T., and Santos, Eunice E., “Bayesian Knowledge Fusion,” Proceedings of the 22nd International FLAIRS Conference, 559-564, Sanibel Island, FL, 2009. (Runner-Up Conference Best Paper Award)

·         Santos, Eugene, Jr. and Dinh, Hang T., “Automatic Knowledge Validation for Bayesian Knowledge Bases,” Data and Knowledge Engineering 64, 218-241, 2008.

·         Santos, Eugene, Jr. and Dinh, Hang T., “Consistency of Test Cases in Validation of Bayesian Knowledge Bases,” Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 468-475, Boca Raton, FL, 2004.

·         Santos, Eugene, Jr., Santos, Eugene S., and Shimony, Solomon Eyal, “Implicitly Preserving Semantics During Incremental Knowledge Base Acquisition Under Uncertainty,” International Journal of Approximate Reasoning 33(1), 71-94, 2003.

·         Brown, Scott M., Santos, Eugene, Jr., and Bell, Benjamin, “Knowledge Acquisition for Adversary Course of Action Prediction Models,” Proceedings of the AAAI 2002 Fall Symposium on Intent Inference for Users, Teams, and Adversaries, Boston, MA, 2002.

·         Santos, Eugene, Jr., “Verification and Validation of Knowledge-Bases Under Uncertainty,” Data and Knowledge Engineering 37, 307-329, 2001.

·         Santos, Eugene, Jr., Banks, Sheila B., Brown, Scott M., and Bawcom, David J., “Identifying and Handling Structural Incompleteness for Validation of Probabilistic Knowledge-Bases,” Proceedings of the 12th International FLAIRS Conference, 506- 510, Orlando, FL, 1999.

·         Banks, Sheila B., Santos, Eugene, Jr., Dyson, Mark L., and Kilpatrick, F. Alex, “Automated Knowledge Acquisition and Dynamic Curriculum Synthesis for Intelligent Tutoring Systems,” Proceedings of the 20th Interservice/Industry Training Systems and Education Conference (I/ITSEC’98), Orlando, FL, 1998.

·         Brown, Scott M., Santos, Eugene, Jr., and Banks, Sheila B., “Supporting Incremental Knowledge Elicitation in Decision-Theoretic Systems,” Proceedings of the AAAI Spring Symposium on Interactive and Mixed-Initiative Decision-Theoretic Systems, 14-15, Palo Alto, CA, 1998.

·         Brown, Scott M., Harrington, Robert A., Santos, Eugene, Jr., and Banks, Sheila B., “User Models, Intelligent Interface Agents and Expert Systems,” Proceedings of the Sixth International Conference on User Modeling Workshop on Embedding User Models in Intelligent Applications, 12-16, Sardinia, Italy, 1997.

 

High Performance, Intelligent Information Retrieval and Document Processing

·         Santos, Eugene, Jr. and Nguyen, Hien, “Modelling Users for Adaptive Information Retrieval by Capturing User Intent,” Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling (Eds. M. Chevalier, C. Julien, and C. Soule-Depuy), 88-118, IGI Global, 2009.

·         Zhao, Qunhua, Santos, Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed, “What Makes a Good Summary?,” Computational Methods for Counterterrorism (Eds. S. Argamon and H. Newton), 33-50, Springer, 2009.

·         Nguyen, Hien, Santos, Eugene, Jr., Jacob, Russell, and Smith, Nathan, “Evaluation of the Effects of User-Sensitivity on Text Summarization,” Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 927-931, Sydney, Australia, 2008.

·         Santos, Eugene, Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah, John, Xia, Huadong, Yu, Fei, and Li, Deqing, “Analyst-Ready Large Scale Real Time Information Retrieval Tool for E-Governance,” E-Government Diffusion, Policy and Impact: Advanced Issues and Practices (Ed. M.Khosrow-Pour), 268-294, IGI Global, 2008.

·         Santos, Eugene, Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah, John, and Xia, Huadong, “IFGM as a Real Time Information Retrieval Tool for E-governance,” International Journal of Electronic Government Research 4(1), 14-35, 2008.

·         Nguyen, Hien and Santos, Eugene, Jr., “An Evaluation of the Accuracy of Capturing User Intent for Information Retrieval,” Proceedings of the 2007 International Conference on Artificial Intelligence (ICAI-07), 341-350, Las Vegas, NV, 2007.

·         Santos, Eugene, Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah, John, Zhao, Qunhua, and Xia, Huadong, “Applying I-FGM to Image Retrieval and an I-FGM System Performance Analyses,” Proceedings of the SPIE: Defense & Security Symposium, Vol: 6560, Orlando, FL, 2007.

·         Nguyen, Hien and Santos, Eugene, Jr., “Effects of Prior Knowledge on the Effectiveness of a Hybrid User Model for Information Retrieval,” Proceedings of the SPIE: Defense & Security Symposium, Vol: 6536, Orlando, FL, 2007.

·         Santos, Eugene Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah, John, Zhao, Qunhua, and Pittkin, Morgan, “Information retrieval in highly dynamic search spaces,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 6229, 1-12, Orlando, FL, 2006.

·         Nguyen, Hien, Santos, Eugene, Jr., Smith, Nathan, and Schuett, Aaron, “Hybrid User Model for Information Retrieval,” Proceedings of the AAAI Workshop on Modeling Others from Observations (MOO-06), 61-76, Boston, MA, 2006.

·         Zhao, Qunhua, Santos, Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed, “What Is Needed for a Good Summary?? Two Different Types of Document Sets Yet Seemingly Indistinguishable to Human Users,” Proceedings of the HICSS-39 Symposium on Skilled Human-Intelligent Agent Performance: Measurement, Application, and Symbiosis, Kauai, HI, 2006.

·         Santos, Eugene, Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, and Korah, John, “Large-Scale Distributed Foraging, Gathering, and Matching for Information Retrieval: Assisting the Geo-Spatial Intelligence Analyst,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 5803, 66-77, Orlando, FL, 2005.

·         Santos, Eugene, Jr., Zhao, Qunhua, Nguyen, Hien, and Wang, Hua, “A User Evaluation for User Modeling in an Information Retrieval Application,” in S. Weibelzahl, A. Paramythis, and J. Masthoff (Eds.), Proceedings of the Fourth Workshop on the Evaluation of Adaptive Systems (held in conjunction with the 10th International Conference on User Modeling (UM’05)), 27-36, Edinburgh, UK, 2005.

·         Santos, Eugene, Jr., Santos, Eunice E., and Santos, Eugene S., “Distributed Real- Time Large-Scale Information Processing and Analysis,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 5421, 161-171, Orlando, FL, 2004.

·         Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua, and Wang, Hua, “Capturing User Intent for Information Retrieval,” Proceedings of the 48th Annual Meeting of the Human Factors and Ergonomics Society (HFES 2004), 371-375, New Orleans, LA, 2004.

·         Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua, and Lee, Chester, “Evaluation of Effects on Retrieval Performance for an Adaptive User Model,” Adaptive Hypermedia 2004: Workshop Proceedings - Part I, 193-202, Eindhoven, The Netherlands, 2004.

·         Santos, Eugene, Jr., Mohamed, Ahmed A., and Zhao, Qunhua, “Automatic Evaluation of Summaries Using Document Graphs,” Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004) Workshop on Text Summarization Branches Out, 66-73, Barcelona, Spain, 2004.

·         Santos, Eugene, Jr., Nguyen, Hien, Zhao, Qunhua, and Wang, Hua, “User Modelling for Intent Prediction in Information Analysis,” Proceedings of the 47th Annual Meeting for the Human Factors and Ergonomics Society (HFES-03), 1034-1038, Denver, CO, 2003.

·         Santos, Eugene, Jr., Nguyen, Hien, Zhao, Qunhua, and Pukinskis, Erik, “Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval Application,” Lecture Notes in Artificial Intelligence 2702: User Modeling 2003 (Eds. P. Brusilovsky, A. Corbett, and F. de Rosis), 292-296, Springer, 2003.

·         Santos, Eugene, Jr., Nguyen, Hien, and Brown, Scott M., “Kavanah: An Active User Interface Information Retrieval Application,” Proceedings of the 2nd Asia-Pacific Conference on Intelligent Agent Technology, 412-423, 2001.

·         Santos, Eugene and Brown, Scott M., “Interfacing the Human into Intelligent Information Systems,” Proceedings of the SPIE 14th Annual: 14th Annual International Symposium on Aerospace/Defense Sensing and Controls: AeroSense 2000, Vol. 4055, 489-509, Orlando, FL, 2000.

·         Santos, Eugene, Jr., Brown, Scott M., Lejter, Moises, Ngai, Grace, Banks, Sheila B., and Stytz, Martin R., “Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries,” Proceedings of the 12th International FLAIRS Conference, 3-7, Orlando, FL, 1999.

 

Protein Folding and Computational Biology (Complex Adaptive Systems)

·         Santos, Eunice E., Santos, Eugene, Jr., Singhal, Ankit, Guo, Donghang, and Zhao, Qunhua, “Inter-cellular Communication Models for Effective and Realistic Biological Simulations,” 2008 Era of Hope Proceedings, 204, Baltimore, MD, 2008.

·         Kim, Keumjoo, Santos, Eunice E., and Santos, Eugene, Jr., “Distributed Caching for Parallel Genetic Algorithms,” Proceedings of the SPIE Defense & Security Symposium, Vol. 6961, Orlando, FL, 2008.

·         Guo, Donghang, Singhal, Ankit, Santos, Eunice E., Santos, Eugene, Jr., and Zhao, Qunhua “Identifying Key Components of Adaptivity Modeling for Complex Adaptive Systems Simulation,” Proceedings of the IEEE International Conference on System, Man, and Cybernetics, 272-277, Montreal, Canada, 2007.

·         Santos, Eunice E. and Santos, Eugene, Jr., “Effective Computational Reuse for Energy Evaluations in Protein Folding,” International Journal of Artificial Intelligence Tools 15(5), 725-739, 2006.

·         Santos, Eunice E., Guo, Donghang, Santos, Eugene, Jr., Zhao, Qunhua, and Singha, Ankit, “A Framework for Complex Adaptive Systems,” Proceedings of the 2006 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA-06), Las Vegas, NV, 2006.

·         Santos, Eunice E., Guo, Donghang, Santos, Eugene, Jr., and Onesty, William, “A Multi-Agent System Environment for Modelling Cell and Tissue Biology,” Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2004), 3-9, Las Vegas, NV, 2004.

·         Santos, Eugene, Jr., Kim, Keum Joo, and Santos, Eunice E., “Local Minima-Based Exploration for Off-Lattice Protein Folding”, Computational Systems Bioinformatics: CSB 2003, 615-616, Stanford, CA, 2003.

·         Santos, Eugene, Jr., Kim, Keum Joo, and Santos, Eunice E., “Effective Search of the Energy Landscape for Protein Folding,” Lecture Notes in Computer Science 2723: GECCO 2003, Genetic and Evolutionary Computation Conference (Eds. E. Cantu- Paz et al.), 642-643, Springer, Chicago, IL, 2003.

·         Santos, Eunice E. and Santos, Eugene, Jr., “Effective and Efficient Caching in Genetic Algorithms,” International Journal of Artificial Intelligence Tools 10(1-2), 273-301, 2001.

 

Multi-Agent Systems, Mission Planning, and Logistics

·         Zhang, Feng, Santos, Eugene, Jr., and Luh, Peter B., “A Performance Study of Multi- Agent Scheduling and Coordination Framework for Maintenance Networks,” IEEE Transactions on Systems, Man, and Cybernetics: Part C 37(1), 52-65, 2007.

·         Santos, Eugene, Jr., DeLoach, Scott, and Cox, Michael T., “Achieving Dynamic, Multi-Commander, Multi-Mission Planning and Execution,” Applied Intelligence 25(3), 333-354, 2006.

·         Zhang, Feng, Mawardi, Andryas, Santos, Eugene, Jr., Pitchumani, Ranga, and Achenie, Luke, “Examination of Load-Balancing Methods to Improve Efficiency of a Composite Materials Manufacturing Process Simulation Under Uncertainty using Distributed Computing,” Future Generation Computer Systems 22(5), 571-587, 2006.

·         Santos, Eugene, Jr., Zhang, Feng, and Luh, Peter B., “Intra-Organizational Logistics Management through Multi-Agent Systems,” Electronic Commerce Research 3(3-4), 337-364, 2003.

·         Saba, G. Mitchell and Santos, Eugene, Jr., “The Multi-Agent Distributed Goal Satisfaction System,” Proceedings of the International ICSC Symposium on Multi-Agents and Mobile Agents in Virtual Organizations and E-Commerce (MAMA 2000), 389- 394, Wollongong, Australia, 2000.

·         Stytz, Martin R., Banks, Sheila B., Hutson, Larry J., and Santos, Eugene, Jr., “An Architecture to Support Large Numbers of Computer-Generated Actors for Distributed Virtual Environments,” Presence 7(6), 588-616, 1998.

 

Optimization and Search

·         Kim, Keumjoo, Santos, Eunice E., and Santos, Eugene, Jr., “Distributed Caching for Parallel Genetic Algorithms,” Proceedings of the SPIE Defense & Security Symposium, Vol. 6961, Orlando, FL, 2008.

·         Zhang, Feng, Santos, Eugene, Jr., and Luh, Peter B., “A Performance Study of Multi- Agent Scheduling and Coordination Framework for Maintenance Networks,” IEEE Transactions on Systems, Man, and Cybernetics: Part C 37(1), 52-65, 2007.

·         Santos, Eugene, Jr., Santos, Eunice E., and Kim, Keum Joo “Satisfying Constraint Sets Through Convex Envelope,” Journal of Experimental and Theoretical Artificial Intelligence 18(3), 413-432, 2006.

·         Zhong, Xiaomin and Santos, Eugene, Jr., “Analyzing the Impact of Knowledge on Algorithm Performance in Discrete Optimization,” Computational Modeling and Problem Solving in the Networked World: Interfaces in Computing and Optimization (Eds. H. K. Bhargava and N. Ye), 139-153, Kluwer Academic, 2003.

·         Santos, Eugene, Jr. and Zhong, Xiaomin, “Genetic Algorithms and Reinforcement Learning for the Tactical Fixed Interval Scheduling Problem,” International Journal of Artificial Intelligence Tools 10(1-2), 23-38, 2001.

·         Santos, Eunice E. and Santos, Eugene, Jr., “Effective and Efficient Caching in Genetic Algorithms,” International Journal of Artificial Intelligence Tools 10(1-2), 273-301, 2001.

·         Santos, Eugene, Jr., “A Computational Model for Portfolios of Cooperative Heterogeneous Algorithms for Discrete Optimization,” Proceedings of the 14th International FLAIRS Conference, 525-529, Orlando, FL, 2001.

·         Zhong, Xiaomin and Santos, Eugene, Jr., “Directing Genetic Algorithms for Probabilistic Reasoning Through Reinforcement Learning,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(2), 167-185, 2000.

·         Santos, Eugene, Jr., Shimony, Solomon Eyal, and Williams, Edward M., “Solving Hard Computational Problems Through Collections (Portfolios) of Cooperative Heterogeneous Algorithms,” Proceedings of the 12th International FLAIRS Conference, 356-360, Orlando, FL, 1999.

·         Williams, Edward, Santos, Eugene, Jr., and Shimony, Solomon Eyal, “Experiments with Distributed Anytime Inferencing: Working with Cooperative Algorithms,” Proceedings of the AAAI Workshop on Building Resource-Bounded Reasoning Systems, 86-91, Providence, RI, 1997.

 

Manufacturing, Scheduling, Computational Chemistry/Physics, and Materials

·         Zhang, Feng, Santos, Eugene, Jr., and Luh, Peter B., “A Performance Study of Multi- Agent Scheduling and Coordination Framework for Maintenance Networks,” IEEE Transactions on Systems, Man, and Cybernetics: Part C 37(1), 52-65, 2007.

·         Acquah, Charles, Mawardi, Andryas, Achenie, Luke, Pitchumani, Ranga, and Santos, Eugene, Jr., “Optimization of an Optical Fiber Drawing Process Under Uncertainty,” Industrial & Engineering Chemistry Research 45(25), 8475-8483, 2006.

·         Acquah, Charles, Datskov, Ivan, Mawardi, Andryas, Zhang, Feng, Achenie, Luke, Pitchumani, Ranga, and Santos, Eugene, Jr., “Optimization Under Uncertainty of a Composite Fabrication Process Using a Deterministic One-Stage Approach,” Computers & Chemical Engineering 30(6-7), 947-960, 2006.

·         Zhang, Feng, Mawardi, Andryas, Santos, Eugene, Jr., Pitchumani, Ranga, and Achenie, Luke, “Examination of Load-Balancing Methods to Improve Efficiency of a Composite Materials Manufacturing Process Simulation Under Uncertainty using Distributed Computing,” Future Generation Computer Systems 22(5), 571-587, 2006.

·         Luh, Peter B., Michel, Laurent, Santos, Eugene, Jr., Yu, Danqing, See, Andrew, Xiong, Bo, Johnson, Greg, and Chang, Shi Chung, “Coherent Configuration and Operation of Building Transportation Systems,” Proceedings of the IEEE International Conference on Automation Science and Engineering, 178-184, Edmonton, CA, 2005.

 

Cost-Based Abduction

·         Santos, Eugene, Jr., and Santos, Eugene S., “Polynomial Solvability of Cost-Based Abduction,” Artificial Intelligence 86(1), 157-170, 1996.

·         Santos, Eugene, Jr., “Unifying Time and Uncertainty for Diagnosis,” Journal of Experimental and Theoretical Artificial Intelligence 8(1), 75-94, 1996.

·         Santos, Eugene, Jr., “A Linear Constraint Satisfaction Approach to Cost-Based Abduction,” Artificial Intelligence 65(1), 1-28, 1994.

·         Santos, Eugene, Jr., “Modelling Cyclicity and Generalized Cost-Based Abduction Using Linear Constraint Satisfaction,” Journal of Experimental and Theoretical Artificial Intelligence 5(4), 359-390, 1993.

·         Charniak, Eugene, and Santos, Eugene, Jr., “Dynamic MAP Calculations for Abduction,” Proceedings of the Tenth National Conference on Artificial Intelligence, 552-557, San Jose, CA, 1992.

·         Santos, Eugene, Jr., “Cost-Based Abduction, Constraint Systems and Alternative Explanations,” Proceedings of the AAAI Workshop Towards Domain-Independent Strategies for Abduction, Anaheim, CA, 1991.

 

Connectionist Language Processing

·         Santos, Eugene, Jr., “A Structured Neural Network Approach to Robust Parsing,” Proceedings of the AAAI Spring Symposium on Connectionist Natural Language Processing, Stanford, CA, 1991.

·         Charniak, Eugene and Santos, Eugene, Jr., “A Context-Free Connectionist Parser Which is not Connectionist, But Then it is not Really Context-Free Either,” Advances in Connectionist and Neural Computation Theory: High-Level Connectionist Models (Eds. J. Barnden and J. Pollack), Ablex Publishing, 123-134, 1991.

·         Santos, Eugene, Jr., “A Massively Parallel Self-Tuning Context-Free Parser,” Advances in Neural Information Processing Systems, Volume 1, 537-544, Morgan Kaufmann, 1989.

·         Charniak, Eugene, and Santos, Eugene, Jr., “A Connectionist Context-Free Parser Which is not Context-Free, But Then it is not Really Connectionist Either,” Proceedings of the Ninth Annual Conference of the Cognitive Science Society, 70-77, Seattle, WA, 1987.

 

Selected papers can be found for download on the main Distributed Information and Intelligence Analysis Group website: http://di2ag.thayer.dartmouth.edu/

 

 

Family of Graduate Students (Thesis work only)

·         Baenen, Eric P., Generalized Probabilistic Reasoning and Empirical Studies on Computational Efficiency and Scalability, M.S., 1994.

·         Banks, Darwyn, Acquiring Consistent Knowledge for Bayesian Forests, M.S., 1995.
(Winner of Mervin E. Gross Award for Best Master’s Thesis)

·         Wright, Charles, Implementing an Elicitor-Harvester for the Automatic Reuse of Software Components, M.S., 1995.

·         Wu, Chia-Long, Temporal Reasoning Based on a Probabilistic Framework, M.S., 1995.

·         Northrop, Shawn, Deriving Optimal Solutions from Incomplete Knowledge Bases, M.S., 1995.

·         Gleason, Howard, Probabilistic Knowledge Base Validation, M.S., 1995.

·         Benslay, James L., A Domain Independent Framework for Developing Knowledge Based Computer Generated Forces, M.S., 1996.

·         Borghetti, Brett J., Inference Algorithm Performance and Selection Under Constrained Resources, M.S., 1996.

·         Conrad, David M., Data-Driven Process Discovery: A Discrete Time Algebra for Relational Signal Analysis, M.S., 1996.

·         Lyle, Louise J., A Test-Case Based Approach to Bayesian Knowledge Base Incompleteness, M.S., 1996.

·         Young, Joel D., On Unifying Time and Uncertainty: Probabilistic Temporal Networks, M.S., 1996.
(Winner of Mervin E. Gross Award for Best Master’s Thesis)

·         Stein, Daniel J. III, (co-advised with Sheila B. Banks), Data-Mining for Bayesian Knowledge-Bases, M.S., 1996.

·         Harrington, Robert A., (co-advised with Sheila B. Banks), Utilizing Bayesian Techniques for User Interface Intelligence, M.S., 1996.

·         Williams, Edward, Dynamic Distributed Anytime Inferencing, Ph.D., 1997.

·         Dyson, Mark, Concept Vectors: A Synthesis of Concept Mapping and Matrices for Knowledge Representation in Intelligent Tutoring Systems, M.S., 1997.

·         Brown, Scott M., A Decision Theoretic Approach for Interface Agent Development, Ph.D., 1998.

·         Bhogte, Parag, Parameterizable Fuzzy Operator Skills, M.S., 1999.

·         Johnson, Greg, Noisy Counter: A Framework for Generalizing Knowledge Representation Rules for Uncertain Knowledge, M.S., 2003.

·         Kaiser, Markus, Distributed Goal Satisfaction, M.S., 2003.

·         Zhong, Xiaomin, The Impact of Knowledge on Algorithm Performance in Discrete Optimization, Ph.D., 2004.
(Awarded Sigma Xi Grant-in-Aid of Research)

·         Negri, Allesandro, Bayesian Templates, M.S., 2005.

·         Nguyen Thi, Minh Hien, Capturing User Intent for Information Retrieval, Ph.D., 2005.
(AAAI Doctoral Consortium 2004)

·         Yuan, Xiuqing, Deception Detection in Multi-Agent System and War-Gaming, M.S., 2007.

·         McEvoy, Kiley, Project CASIE: Cognitive Architecture Studies, Implementations, and Experiment, M.S., 2007.

·         Kim, KeumJoo, An effective distributed caching strategies for partial result reuse in solving discrete optimization problems, Ph.D., 2009.

·         Wilkinson, John T., Adversarial Social Network Fragments, Ph.D., in progress.

·         Yu, Fei, User Modeling and Information Retrieval, Ph.D., in progress.

·         Li, Yuki (Deqing), Adversarial and Deception Intent, Ph.D., in progress.

·         Jurmain, Jacob, TBD, Ph.D., in progress.

·         Gu, Tracy (Qi), TBD, Ph.D., in progress.

·         Thompson, Jeremy, TBD, PhD., in progress.

 

Research Scientists and Postdoctoral Fellows

·         Dr. KeumJoo Kim

·         Dr. Xiuqing Yuan

·         Dr. Qunhua Zhao

·         Dr. Paul Thompson

·         Dr. Jung-Jin Lee

 

Other Affiliations